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Green, poverty reduction and spatial spillover: an analysis from 21 provinces of China

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  • Chu Qin

    (Central China Normal University)

  • Wei Zhang

    (Sichuan University)

Abstract

Environment and poverty are the focus of global concern, and green poverty reduction is China’s strategic choice to deal with these two major problems. However, due to the vast territory, there are regional differences in environment and poverty in China. On the basis of this, selecting renewable resource utilization, environmental protection, and incidence of poverty as measurement indicators from two dimensions of green and poverty reduction, this paper employed the analysis of spatial autocorrelation and spatial econometric regression based on dynamic spatial Durbin model to explore the internal mechanism of green and poverty in rural areas of 21 provinces in China. The results show that there was a significant spatial autocorrelation in the poverty in rural areas among provinces, which shows that poverty reduction has significant regional connections within spatial scopes. Meanwhile, it is green that has a spatial spillover effect on poverty reduction. Therefore, on the one hand, intergovernmental governments should establish effective communication and cooperation mechanisms between regions; on the other hand, intergovernmental governments should pay enough attention to the spatial spillover effects of green on poverty reduction in green poverty reduction, so as to promote green poverty reduction to achieve overall and sustainable development.

Suggested Citation

  • Chu Qin & Wei Zhang, 2022. "Green, poverty reduction and spatial spillover: an analysis from 21 provinces of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13610-13629, December.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:12:d:10.1007_s10668-021-02003-w
    DOI: 10.1007/s10668-021-02003-w
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